CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation. First, it is clear that generative AI will transform business.

Insurance 67

Insurance Experimentation Finance Data Governance 67

CIO Business Intelligence

SEPTEMBER 26, 2023

When bad actors and rogue pieces of code come into play, or subsystem breakdowns occur, it’s imperative to have the right processes in place to identify the next steps toward relief and prevent issues from happening in the future. When mayhem is a rogue piece of code Nobody wins the race standing still. The same can be said about IT.

IT 96

IT Insurance Cost-Benefit Strategy 96

AWS Big Data

MAY 1, 2024

In those jobs where the AWS Glue serverless Spark UI does not work as it has a limit of 512 MB of logs, you can set up the Spark UI using an EC2 instance. collect()[0][0] """ the code calculates the absolute difference between each value in the "partition_size" column and the calculated average (avg_size). groupBy("partitionId").count().orderBy(asc("count")).withColumnRenamed("count","partition_size")

Broadcasting 75

Broadcasting Optimization Metrics Interactive 75

O'Reilly on Data

DECEMBER 10, 2019

Most companies don’t have the AI expertise to implement Karpathy’s vision. Training models isn’t well understood yet, at least not within companies that haven’t already invested significantly in technology (in general) or AI (in particular). Yes, but so far, they’re only small steps. Traditional programming is well understood.

Software 261

Software Machine Learning Risk Data-driven 261

CIO Business Intelligence

NOVEMBER 7, 2023

Generative AI adoption is growing in the workplace—and for good reason. But the double-edged sword to these productivity gains is one of generative AI’s known Achilles heels: its ability to occasionally “ hallucinate ,” or present incorrect information as fact. Here are a range of options IT can use to get started.

IT 124

IT Risk Modeling Strategy 124

CIO Business Intelligence

OCTOBER 24, 2023

This is a staggering number that shows just how attractive the event is to threat actors – and artificial intelligence (AI) was a key driver in protecting against these attempts. AI has been an industry buzzword as of late, with the community primarily focusing on discussing how threat actors are leveraging it.

Dashboards 104

Dashboards Data Collection Visualization Reporting 104

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Therefore, it does not replace data quality solutions. As any developer knows, static analysis examines the code without executing it.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

O'Reilly on Data

JUNE 13, 2023

After fixing some obvious errors, I ran the program–and while it told me (correctly) that my number was non-prime, when compared to a known good implementation of Miller-Rabin, ChatGPT’s code made many mistakes. It didn’t generate any code, but provided a link to the Wolfram Alpha result page that described how to test for primality.

Testing 209

Testing Publishing IT Risk 209

CIO Business Intelligence

MAY 2, 2024

Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “As “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser.

IT 59

IT Risk Enterprise Data-driven 59

Jen Stirrup

SEPTEMBER 3, 2021

This post will discuss one of the challenges of digital transformation; reconciling diversity and inclusion in organizations along with resolving ‘difficult’ artificial intelligence with ‘easy’ no-code solutions. So first of all, what does that give us? So what we see is a sequence starting to happen.

B2B 111

B2B Digital Transformation Technology Marketing 111

Smart Data Collective

SEPTEMBER 5, 2022

That figure is growing as more teams need them to work on projects involving data analytics, AI and similar technologies. What Does a Python Developer Do? A Python developer is responsible for writing code in the Python programming language. There are 8.2 million Python developers in the world today!

Data Science 134

Data Science Big Data Software Data Analytics 134

CIO Business Intelligence

NOVEMBER 8, 2023

That’s where EVP and CIO Kathy Kay found herself in coming to Principal Financial Group from PG&E in May 2020 with a desire to lead an aggressive plan to adopt digital technologies, ranging from the cloud to AI. To enable more AI, Principal’s engineers are using GitHub Copilot for generating code, Kay adds.

IT 119

IT Insurance Machine Learning Cost-Benefit 119

CIO Business Intelligence

DECEMBER 11, 2023

AI has whet the appetites of organizations across nearly every sector. As AI pilots move toward production, discussions about the need for ethical AI are growing, along with terms like “fairness,” “privacy,” “transparency,” “accountability,” and the big one —”bias.”

Modeling 131

Modeling Risk Strategy Software 131

IBM Big Data Hub

JANUARY 26, 2024

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. How to execute on an intent: what does the intent handler look like? As a result, networks have become increasingly hard to manage.

IoT 104

IoT Data-driven Interactive Management 104

CIO Business Intelligence

DECEMBER 18, 2023

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. That column may have been the understatement of the year.

Enterprise 116

Enterprise Management Risk Uncertainty 116

CIO Business Intelligence

DECEMBER 6, 2023

This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader. Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance.

Enterprise 118

Enterprise Strategy Modeling Interactive 118

CIO Business Intelligence

JUNE 13, 2023

Now some AI architects are eyeing the long-forgotten model of analog computation where values are expressed as voltages or currents. The fascination in the idea comes from the observation that AI models don’t need the same kind of precision as, say, bank ledgers. Some systems such as databases are designed to offer high reliability.

IT 141

IT Scorecard Software Modeling 141

Jen Stirrup

SEPTEMBER 30, 2021

AI vs ML vs Data Science vs Business Intelligence. Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Data Understanding.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

CIO Business Intelligence

JULY 31, 2023

With all the articles about all the amazing AI developments, there’s plenty of hand-wringing around the possibility that we, as software developers, could soon be out of a job, replaced by artificial intelligence. Coding can be a challenge, but I’ve never spent more than two weeks trying to figure out what is wrong with the code.

Software 98

Software Data-driven Risk Manufacturing 98

IBM Big Data Hub

NOVEMBER 14, 2023

How does Wazi as Service help drive modernization? Shift-left coding practices allow testing to begin as early as the code-writing stage, enhancing software quality. This means developers can build and deploy their environments and code with industry-grade regulations in mind, ensuring data security and regulatory compliance.

Digital Transformation 100

Digital Transformation Testing Interactive Software 100

Smart Data Collective

FEBRUARY 24, 2022

AI technology has changed many aspects of our lives. A recent news article written by Kevin Dallas in The Hill talked about some of the ethical issues associated with AI. The truth is that AI technology must be properly designed and used responsibly. This includes developing AI software.

Testing 107

Testing Marketing Software Technology 107

O'Reilly on Data

MAY 18, 2020

All this change could wreak havoc on artificial intelligence (AI) systems. The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. What is an incident when it comes to an AI system?

Risk 359

Risk Modeling Data Processing Software 359

IBM Big Data Hub

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

Enterprise 105

Enterprise ROI Risk Strategy 105

CIO Business Intelligence

AUGUST 17, 2023

Generative AI is widely regarded as one of the great technology breakthroughs of our time. To cut through the froth, CIO.com polled a range of IT leaders and experts for their views on where we are with generative AI, their hopes and their concerns. I believe generative AI is a game changer at a fundamental level,” he says. “I

Risk 96

Risk Cost-Benefit Strategy Experimentation 96

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Although TensorFlow grew by just 3%, it, too, garnered 22% share of AI/ML usage in 2019.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

Ontotext

APRIL 10, 2024

Currently, every organization is blindly chasing the GenAI race, often forgetting that data quality and semantics is one of the fundamentals to achieving AI success. Proliferation of data catalogs across vendors creates metadata silos and does little to connect the data semantically.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

JUNE 29, 2022

We speak to Monika Rzepecka, MLOps analyst at the market, consumer, and brand intelligence agency, GfK, to hear what the role involves and what it delivers, strategically. . What can the MLOps role involve? . Our role is to make machine learning, or AI, projects more systematic, repeatable, and well maintained. It’s crucial.

Data Science 90

Data Science Machine Learning Data-driven Predictive Analytics 90

Smarten

APRIL 19, 2024

Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Open AI was developed by Microsoft.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.” Simplify analytics with AI. Tools of the AI trade.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

O'Reilly on Data

DECEMBER 12, 2019

Model debugging attempts to test ML models like code (because they are usually code) and to probe sophisticated ML response functions and decision boundaries to detect and correct accuracy, fairness, security, and other problems in ML systems. [6] 6] Debugging may focus on a variety of failure modes (i.e., Benchmark models.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smarten

JULY 26, 2023

It is difficult to avoid the discussion of Artificial Intelligence (AI). Probably the most frequently discussed aspect of AI development is the ChatGPT revolution. Technology research firm Gartner recently estimated that the market for AI software will be nearly $134.8 Explore our AI And GPT Articles Here.

Digital Transformation 52

Digital Transformation Consulting Software Marketing 52

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Medical embeddings. NLP Pipeline API’s.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

IBM Big Data Hub

JUNE 20, 2023

Up to that point, I had spent my life trying to express and articulate designs, solutions and experiences in pictures, slide decks, text or, well, code. I grouped the episodes into three groups/themes: Research: What does a researcher do at IBM? That also includes related work on AI governance. What are their characteristics?

Forecasting 99

Forecasting Technology Modeling Software 99

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

Smart Data Collective

OCTOBER 15, 2021

Your website might be the most aesthetically arranged piece of code on the block, but that won’t mean much if it isn’t well-designed. Here are six tips for designing a web presence that does more than just load code. This is one of the areas where AI tools can help with the design process. Focusing on the user journey.

Data-driven 126

Data-driven Advertising Big Data Optimization 126

Dataiku

APRIL 22, 2022

It’s no secret that training AI models is an energy-intensive and large dataset-dependent endeavor and, to corroborate this, researchers at the University of Massachusetts Amherst performed a lifecycle assessment on large, widely accepted AI models trained on the vast datasets needed to achieve accuracy. It's All in a Name.

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

DataRobot

MARCH 10, 2021

Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. In this usage, human-out-of-the-loop AI decision-making is labeled as autonomous. Is AI Autonomous? Fit pattern-matching algorithms.

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145